mcpField
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glassdata

glassdata

Local
github.com/CloudCorpRecordsBusiness & Marketing0Updated 2d ago

About glassdata

glassdata is a local bridge for searching Glassdoor job listings and retrieving full posting details. It is intended for tools and agents that need public job data, and forwards results from HasData without maintaining its own listings.

Key features

  1. 01Search listings by keyword and location
  2. 02Filter by date, salary, rating, and remote status
  3. 03Retrieve full posting details
  4. 04CLI and stdio MCP server

Use cases

  1. 01Find roles matching a keyword and location
  2. 02Narrow listings by salary or posting date
  3. 03Read a job description and qualifications

MCP support

Exposes two read-only job-data tools to MCP clients and forwards calls to the hosted HasData Glassdoor MCP server. It does not support applications, messaging, or payments.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"cloudcorprecords-glassdata": {
"command": "npx",
"args": [
"-y",
"@reneturcios/glassdata"
]
}
}
}
Run commandnpx -y @reneturcios/glassdata

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@reneturcios/glassdata0.1.0
ocighcr.io/cloudcorprecords/glassdata:0.1.0

Tools

2

Saved tool list · updated 2d ago

ParameterTypeRequiredDescription
urlstringYesThe URL of the job vacancy to retrieve details for.

Details

From the project README

glassdata

glassdata is a small local bridge to the hosted HasData Glassdoor MCP server, which returns Glassdoor job data as JSON. It can search job listings for a keyword in a place, and it can pull one posting in full from its vacancy URL: the job title, the company and its rating, where the job sits, the salary estimate, when it was posted, the complete description, and the stated qualifications and benefits.

The bridge holds no listings of its own. It answers the tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning whatever comes back untouched. The captured surface is two read-only fetches over public postings: there is no application submission, no employer or candidate contact data, and no messaging or payment tool in it.

Tools

  • hasdata_glassdoor_listing_getJobListings — search Glassdoor listings. Required: keyword and location. Optional: sort (recent / relevant), domain (which national Glassdoor site to target), datePosted (only jobs posted within that many days), radius (search distance in miles), minSalary and maxSalary (yearly pay range), minRating (lowest company rating), easyApplyOnly and remoteOnly flags, and nextPageToken for paging — the token carries the original search's filters with it. Returns jobs with title, company, location, salary estimate, posted date, job URL and jobId, plus per-page tokens.
  • hasdata_glassdoor_job_getJobDetails — fetch one posting in full. Required: url (the vacancy URL). Returns title, company name and rating, location, salary estimate, posted date, full description, and qualifications and benefits.

Configuration

  • HASDATA_GLASSDOOR_MCP_URL (optional) — override the upstream endpoint. Defaults to https://mcp.hasdata.com/mcp?apis=glassdoor. (The override hook is this rebuild's own labelled reconstruction.)
  • HASDATA_API_KEY (optional) — when set, every upstream request carries an x-api-key: <key> header, for the caller's own HasData API key. When it is not set, no key header is sent. (The header name and the env name are pinned by the original's registry record; forwarding the key from this env var is a labelled reconstruction — the original surface was captured keyless.)
Forwarding mechanics

On the first tool call the client opens a streamable HTTP session upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name glassdata), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.

Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with glassdata error: (this rendering is this rebuild's own labelled reconstruction).

CLI

Each tool is also a subcommand taking one JSON argument string:

npx @reneturcios/glassdata hasdata_glassdoor_listing_getJobListings '{"keyword":"software engineer","location":"San Francisco, California"}'
npx @reneturcios/glassdata hasdata_glassdoor_job_getJobDetails '{"url":"https://www.glassdoor.com/job-listing/example"}'
npx @reneturcios/glassdata --version

Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.

MCP server

npx -y @reneturcios/glassdata mcp

MCP client config:

{
  "mcpServers": {
    "glassdata": {
      "command": "npx",
      "args": ["-y", "@reneturcios/glassdata", "mcp"]
    }
  }
}

Docker

docker run -i ghcr.io/cloudcorprecords/glassdata
docker run --rm ghcr.io/cloudcorprecords/glassdata --version

The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.

Development

npm install
npm run build
npm test
npm run dev

The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.

License

MIT — see LICENSE.

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